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102 Ratings

Tableau Online

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Top Rated
182 Ratings
102 Ratings
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Score 8.5 out of 101

Tableau Online

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Top Rated
182 Ratings
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Score 8.2 out of 101

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Likelihood to Recommend

Apache Spark

Apache Spark has rich APIs for regular data transformations or for ML workloads or for graph workloads, whereas other systems may not such a wide range of support. Choose it when you need to perform data transformations for big data as offline jobs, whereas use MongoDB-like distributed database systems for more realtime queries.
Nitin Pasumarthy profile photo

Tableau Online

Tableau is very well suited for large organizations because of its cost. It has a great visual design. It is particularly useful when there is data integration with other software required. Dashboards come out very well in such cases and help make sense out of data. These dashboards are used on a frequent basis once a baseline or a parameter is defined. Trend analysis and forecasting are a key to using this software and this is where it comes in very handy.
Kruti Vaidya profile photo

Feature Rating Comparison

BI Standard Reporting

Apache Spark
Tableau Online
7.8
Pixel Perfect reports
Apache Spark
Tableau Online
7.8
Customizable dashboards
Apache Spark
Tableau Online
8.5
Report Formatting Templates
Apache Spark
Tableau Online
7.1

Ad-hoc Reporting

Apache Spark
Tableau Online
8.0
Drill-down analysis
Apache Spark
Tableau Online
8.1
Formatting capabilities
Apache Spark
Tableau Online
7.6
Integration with R or other statistical packages
Apache Spark
Tableau Online
8.0
Report sharing and collaboration
Apache Spark
Tableau Online
8.3

Report Output and Scheduling

Apache Spark
Tableau Online
8.1
Publish to Web
Apache Spark
Tableau Online
8.8
Publish to PDF
Apache Spark
Tableau Online
8.4
Report Versioning
Apache Spark
Tableau Online
7.8
Report Delivery Scheduling
Apache Spark
Tableau Online
7.3
Delivery to Remote Servers
Apache Spark
Tableau Online
8.1

Data Discovery and Visualization

Apache Spark
Tableau Online
8.5
Pre-built visualization formats (heatmaps, scatter plots etc.)
Apache Spark
Tableau Online
9.1
Location Analytics / Geographic Visualization
Apache Spark
Tableau Online
8.7
Predictive Analytics
Apache Spark
Tableau Online
7.6

Access Control and Security

Apache Spark
Tableau Online
8.4
Multi-User Support (named login)
Apache Spark
Tableau Online
8.4
Role-Based Security Model
Apache Spark
Tableau Online
8.4
Multiple Access Permission Levels (Create, Read, Delete)
Apache Spark
Tableau Online
8.3
Single Sign-On (SSO)
Apache Spark
Tableau Online
8.6

Mobile Capabilities

Apache Spark
Tableau Online
8.1
Responsive Design for Web Access
Apache Spark
Tableau Online
8.3
Dedicated iOS Application
Apache Spark
Tableau Online
7.8
Dedicated Android Application
Apache Spark
Tableau Online
8.0
Dashboard / Report / Visualization Interactivity on Mobile
Apache Spark
Tableau Online
8.3

Application Program Interfaces (APIs) / Embedding

Apache Spark
Tableau Online
7.7
REST API
Apache Spark
Tableau Online
8.2
Javascript API
Apache Spark
Tableau Online
8.5
iFrames
Apache Spark
Tableau Online
7.9
Java API
Apache Spark
Tableau Online
7.5
Themeable User Interface (UI)
Apache Spark
Tableau Online
6.8
Customizable Platform (Open Source)
Apache Spark
Tableau Online
7.0

Pros

  • in memory data engine and hence faster processing
  • does well to lay on top of hadoop file system for big data analytics
  • very good tool for streaming data
Shiv Shivakumar profile photo
  • Visualizations of data
  • Aggregation of complex big data
  • Tabbed browsing for organization
No photo available

Cons

  • could do a better job for analytics dashboards to provide insights on a data stream and hence not have to rely on data visualization tools along with spark
  • also there is room for improvement in the area of data discovery
Shiv Shivakumar profile photo
  • Online zooming into small data gets very hard to see and very grainy
  • Viewing raw data sources
  • Explanations of calculations
No photo available

Usability

No score
No answers yet
No answers on this topic
Tableau Online8.2
Based on 1 answer
Simple, easy and straighforward interface.
Phil Dana, PMOC profile photo

Alternatives Considered

We evaluated SAS alongside with Apache Spark but during the course of proof of concept found that Apache Spark was able to support the hadoop eco-system and hadoop file system much better. It was much faster at that time while having the ability to process data quickly for the business analytical needs and and also scaled up well.
Shiv Shivakumar profile photo
This is user friendly, no coding required, easy to set up, easy to put data into, has a connector to our CRM/ERP so there are low barriers to get data into. Tableau is really the smart and easy choice in the business intelligence software area. Ease of deployment and the resulting low costs are a huge win too!
Kristopher Kroona profile photo

Return on Investment

  • Apache Spark has faster performance compared to MapReduce.
  • Combination of Python & Spark is the best. Shorter code, faster and efficient performance.
  • Can replace RDBMS
Kartik Chavan profile photo
No answers on this topic

Pricing Details

Apache Spark

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Tableau Online

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details